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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Miao Yong Qi Di Hou Yue-hua Dai Yi Shi |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., Xi'an (Lei Miao; Yong Qi; Di Hou; Yue-hua Dai; Yi Shi) |
| Abstract | There are two important factors in the power-performance issues of chip multi-processor(CMP) system: the execution time of tasks and the system energy consumption. Most of exist energy saving methods are not designed to reduce the system energy while cut the execution time down. This paper represents a multi-objective hybrid genetic algorithm (MHGA) which can make the execution time of tasks minimize while reducing the system power consumption. We analyze the problem of energy saving task scheduling on CMP system and a novel coding scheme of genetic algorithm. Based on that, we improve the crossover and mutation operator of genetic algorithm. We propose the multi-objective genetic algorithm by using simulated annealing algorithm to enhance the search ability. Simulation results demonstrate that using our algorithm can make the efficiency of task scheduling on CMP increase, make both the execution time of task and energy consumption of system decrease. |
| Starting Page | 197 |
| Ending Page | 201 |
| File Size | 242909 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424423835 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2008.4811274 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithms Energy consumption Scheduling algorithm Processor scheduling Dynamic voltage scaling Design methodology Genetic mutations Multiprocessing systems Switches Voltage control energy saving task scheduling genetic algorithm chip multi-processor (CMP) |
| Content Type | Text |
| Resource Type | Article |
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